Applied Mathematics (MS)
M.S. Program in Applied Mathematics
This 30-point program leads to a Master of Science degree. Students must complete five core courses and five electives. All degree requirements must be completed within five years. A candidate is required to maintain at least a 2.5 grade point average. If a student admitted to the Applied Mathematics M.S. only program is interested in the Ph.D. program, the student must reapply for admission. The core courses provide a student with a foundation in the fundamentals of applied mathematics and contribute 15 points of graduate credit toward the degree.
A core course is any 4000-level or above course with an APMA designator (excluding APMA E4901 and APMA E4903). Students must complete five of the following courses or any other core course not listed below:
| Code | Title | Points |
|---|---|---|
| Required Courses | ||
| Choose five of the following: | ||
| APMA E4007 | APPLIED LINEAR ALGEBRA | |
| APMA E4008 | Advanced and Applied Linear Algebra | |
| APMA E4100 | Applied Analysis | |
| APMA E4101 | APPL MATH III:DYNAMICAL SYSTMS | |
| APMA E4150 | APPLIED FUNCTIONAL ANALYSIS | |
| APMA E4200 | PARTIAL DIFFERENTIAL EQUATIONS | |
| APMA E4204 | FUNCTNS OF A COMPLEX VARIABLE | |
| APMA E4300 | COMPUT MATH:INTRO-NUMERCL METH | |
| APMA E4301 | NUMERICAL METHODS/PDE'S | |
| APMA E4302 | METHODS IN COMPUTATIONAL SCI | |
| APMA E4306 | Applied Stochastic Analysis | |
| APMA E4990 | SPEC TOPICS IN APPLIED MATH | |
| APMA E6301 | ANALYTIC METHODS FOR PDE'S | |
| APMA E6302 | NUMERICAL ANALYSIS OF PDE'S | |
| APMA E6901 | SPECIAL TOPICS IN APPLIED MATH | |
| Research Seminar | ||
| RESEARCH SEMINAR | ||
| Elective Courses | ||
| Choose five of the following (or any of those not used to satisfy the core requirements from the list above) for a total of 15 points of graduate credit: 1 | ||
| Computer Science Elective Courses | ||
| Advanced Algorithms | ||
| INTRO-COMPUTATIONAL COMPLEXITY | ||
| Numerical Algorithms and Complexity | ||
| INTRO-COMPUTATIONAL LEARN THRY | ||
| INTRO TO QUANTUM COMPUTING | ||
| ARTIFICIAL INTELLIGENCE | ||
| NATURAL LANGUAGE PROCESSING | ||
| MACHINE LEARNING | ||
| Industrial Engineering/Operations Research Elective Courses 2 | ||
| CORPORATE FINANCE FOR ENGINEERS | ||
| OPTIMIZATION MODELS AND METHODS | ||
| OPT MODELS ＆ METHODS FOR FE | ||
| STOCHASTIC MODELS | ||
| INTRO-PROBABILITY ＆ STATISTICS | ||
| QUANTITATIVE CORPORATE FINANCE | ||
| GAME THEOR MODELS OF OPERATION | ||
| INTRO TO FINANCIAL ENGINEERING | ||
| Applied Physics, Physics, and Earth and Environmental Sciences Courses | ||
| QUANTUM PHYSICS OF MATTER | ||
| STATISTICAL MECHANICS AND COMP METHODS | ||
| PHYSICS OF FLUIDS | ||
| GEOPHYSICAL FLUID DYNAMICS | ||
| APPLIED ELECTRODYNAMICS | ||
| PLASMA PHYSICS I | ||
| PLASMA PHYSICS II | ||
| ADVANCED MECHANICS | ||
| MATHEMATICL METHODS OF PHYSICS | ||
| Introduction to Atmospheric Science | ||
| CLIM THERMODYN/ENERGY TRANSFER | ||
| INTRO TO PHYSICAL OCEANOGRAPHY | ||
| TROPICAL METEOROLOGY | ||
| 4000-level and above Department of Mathematics Courses (excluding seminar courses) | ||
| INTRO-COMP APPL-HLTH CRE/BIOMD | ||
| SIGNAL MODELING | ||
| RANDOM SIGNALS ＆ NOISE | ||
| DIGITAL SIGNAL PROCESSING | ||
| INTRO TO CONTROL THEORY | ||
NBHV G4360 | ||
| INTRODUCTION TO PROBABILITY AND STATISTICS | ||
STAT GU4606 | ||
- 1
Courses from the Department of Economics, Business School, School of International and Public Affairs, or quantitative courses offered by the School of Professional Studies may not be counted as electives toward the degree.
- 2
Please check IEOR website for registration procedures required of non-IEOR students.
Other elective courses may be chosen from other departments in SEAS and Arts and Sciences, e.g., the Departments of Mechanical Engineering, Electrical Engineering, Mathematics, and Statistics.